Data Science Cheat Sheets

This cheat sheet provides a comparison of the main services needed for data and AI-related work, from data engineering to data analysis and data science, to creating data applications.

In this cheat sheet, learn all about the basics of working with Conda. From managing and installing packages, to working with channels & environments, learn the fundamentals of the conda package management tool suite.

In this cheat sheet, learn how to apply Docker in your Data Science projects

In this cheat sheet, gain access to 60+ ChatGPT prompts for data science tasks.

Learn the basics of probability with our Introduction to Probability Rules Cheat Sheet. Quickly reference key concepts and formulas for finding probability, conditional probability, and more.

Master the fundamentals of data governance with our Data Governance Fundamentals Cheat Sheet. Quickly reference key concepts, best practices, and key components of a data governance program.

Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.

Working with dates and times is essential when manipulating data in Python. Learn the basics of working with datetime data in this cheat sheet.

Regular expressions (regex or regexp) are a pattern of characters that describe an amount of text. Regular expressions are one of the most widely used tools in natural language processing and allow you to supercharge common text data manipulation tasks.

With this data manipulation with dplyr in the R cheat sheet, you'll have a handy reference guide in your R upskilling journey.

With this SQL Joins cheat sheet, you'll have a handy reference guide to joining data in SQL.

Git lets you manage changes made to files and directories in a project. It allows you to keep track of what you did, undo any changes you decide you don't want, and collaborate at scale with others. This cheat sheet will give you the download on all thing